Landslide prediction, monitoring and early warning: a concise review of state-of-the-art
Landslide is one of the repeated geological hazards during rainy season, which causes
fatalities, damage to property and economic losses in Korea. Landslides are responsible for …
fatalities, damage to property and economic losses in Korea. Landslides are responsible for …
Review of satellite interferometry for landslide detection in Italy
Landslides recurrently impact the Italian territory, producing huge economic losses and
casualties. Because of this, there is a large demand for monitoring tools to support landslide …
casualties. Because of this, there is a large demand for monitoring tools to support landslide …
Enhanced dynamic landslide hazard mapping using MT-InSAR method in the Three Gorges Reservoir Area
Landslide hazard mapping is essential for disaster reduction and mitigation. The hazard
map produced by the spatiotemporal probability analysis is usually static with false-negative …
map produced by the spatiotemporal probability analysis is usually static with false-negative …
Spaceborne, UAV and ground-based remote sensing techniques for landslide mapping, monitoring and early warning
Background The current availability of advanced remote sensing technologies in the field of
landslide analysis allows for rapid and easily updatable data acquisitions, improving the …
landslide analysis allows for rapid and easily updatable data acquisitions, improving the …
Landslide susceptibility mapping using machine learning algorithms and remote sensing data in a tropical environment
We used AdaBoost (AB), alternating decision tree (ADTree), and their combination as an
ensemble model (AB-ADTree) to spatially predict landslides in the Cameron Highlands …
ensemble model (AB-ADTree) to spatially predict landslides in the Cameron Highlands …
The new landslide inventory of Tuscany (Italy) updated with PS-InSAR: geomorphological features and landslide distribution
In this paper, the updating of the landslide inventory of Tuscany region is presented. To
achieve this goal, satellite SAR data processed with persistent scatter interferometry (PSI) …
achieve this goal, satellite SAR data processed with persistent scatter interferometry (PSI) …
Slow-moving landslide risk assessment combining Machine Learning and InSAR techniques
This paper describes a novel methodology where Machine Learning Algorithms (MLAs)
have been integrated to assess the landslide risk for slow moving mass movements …
have been integrated to assess the landslide risk for slow moving mass movements …
Landslide susceptibility mapping using machine learning algorithm validated by persistent scatterer In-SAR technique
Landslides are the most catastrophic geological hazard in hilly areas. The present work
intends to identify landslide susceptibility along Karakorum Highway (KKH) in Northern …
intends to identify landslide susceptibility along Karakorum Highway (KKH) in Northern …
[HTML][HTML] Dynamic landslides susceptibility evaluation in Baihetan Dam area during extensive impoundment by integrating geological model and InSAR observations
K Dai, C Chen, X Shi, M Wu, W Feng, Q Xu… - International Journal of …, 2023 - Elsevier
Abstract On April 6, 2021, the Baihetan dam launched impoundment, and the reservoir water
surface elevation dramatically increased from 660 m to 812 m until October 2021, which may …
surface elevation dramatically increased from 660 m to 812 m until October 2021, which may …
Landslide detection by deep learning of non-nadiral and crowdsourced optical images
F Catani - Landslides, 2021 - Springer
The recent development of mobile surveying platforms and crowdsourced geoinformation
has produced a huge amount of non-validated data that are now available for research and …
has produced a huge amount of non-validated data that are now available for research and …